data-monetization-expert
Choose Your Fastest Data Monetization Path
Many organizations hold valuable data but struggle to turn it into real revenue. This skill applies a seven-path model, DMS scoring, and three-database framework to pick the shortest route from data to cash.
自分のエージェントでインストール
このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。
Review the Skillstore skill "data-monetization-expert" from https://skillstore.io/skills/dhturing-data-monetization-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-data-monetization-expert/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。
エージェントが読めるリソース
AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。
テストする
「data-monetization-expert」を使用しています。 We hold anonymized regional consumer spending data. Score it and tell us the fastest path to revenue.
期待される結果:
The skill returns a DMS score across the five dimensions, a disposition such as act-now, and a ranked shortlist of monetization paths with the recommended primary path and the reasoning for choosing it first.
「data-monetization-expert」を使用しています。 Help us design a recurring revenue mix instead of one-off projects.
期待される結果:
The skill outlines a revenue structure that moves recurring income above fifty percent, names the income models to combine, and describes a quarterly review cadence to keep the mix on target.
セキュリティ監査
安全This is a documentation-only Agent Skill written in Chinese that provides a business framework for data monetization (seven-path model, DMS scoring, three databases). All 12 static findings were adjudicated as false positives: the flagged backtick patterns are Markdown inline-code spans referencing documentation files, the hidden-file findings are install-path examples inside a fenced code block, the hardcoded URLs point to the author's own company website, and the high-entropy heuristics fire on ordinary CJK prose. No executable code, network calls, credential access, or prompt-injection content was found in any file.
リスク要因
📁 ファイルシステムへのアクセス (2)
⚙️ 外部コマンド (3)
🌐 ネットワークアクセス (2)
このレポートを共有・引用
バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。
レポートリンクをコピー
https://skillstore.io/skills/dhturing-data-monetization-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdownバッジ
[](https://skillstore.io/skills/dhturing-data-monetization-expert?utm_source=security_passport_badge)HTMLバッジ
<a href="https://skillstore.io/skills/dhturing-data-monetization-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-data-monetization-expert/security.svg" alt="Skillstore security assessment" loading="lazy"></a>埋め込みカード
<iframe src="https://skillstore.io/embed/skills/dhturing-data-monetization-expert.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>学術引用 (APA · BibTeX · CFF)
APA形式の引用
图灵数盟. (2026). data-monetization-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-monetization-expert/audits/1BibTeX形式の引用
@techreport{dhturing-data-monetization-expert-2026,
author = {图灵数盟},
title = {data-monetization-expert security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/dhturing-data-monetization-expert/audits/1},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "data-monetization-expert security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "图灵数盟"
date-released: "2026-09-27"
url: "https://skillstore.io/skills/dhturing-data-monetization-expert/audits/1"
identifiers:
- type: other
value: "skillstore:dhturing-data-monetization-expert:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore スコア
このスコアの理由 証拠の信頼度: 中作成できるもの
Rank monetization paths for a data asset
Score a dataset with the DMS model and compare the seven paths to decide which route reaches revenue fastest.
Build a demand database from scratch
Define the fields to collect and the acquisition channels needed to identify who will buy the data.
Shift revenue toward recurring income
Redesign a project-based revenue mix into a structure where recurring revenue exceeds half of total income.
これらのプロンプトを試す
We have a dataset about [describe the data]. Use the DMS model to score its monetization potential and tell me whether to act now, nurture, or defer.
For our [describe] data assets, compare the seven monetization paths and recommend one primary path and one supporting path, with the reasoning for each.
Design a complete monetization scheme for selling [data product] to [target buyer], covering what to sell, pricing, delivery, and how revenue is recognized.
Our income is mostly project-based. Design a revenue structure that raises recurring revenue above fifty percent, and outline a quarterly review plan to track progress.
ベストプラクティス
- State your data's ownership clarity, quality, and compliance status up front so the DMS scoring is accurate.
- Ask for a primary path plus supporting paths, then commit to the fastest route to first revenue before expanding.
- Request reference revenue ranges with stated assumptions rather than a single fixed number.
回避
- Do not treat the reference revenue ranges as guaranteed financial forecasts.
- Do not skip the compliance and data-ownership gate before designing a monetization scheme.
- Do not expect the skill to connect to live systems or replace licensed institutions and regulators.
よくある質問
What does this skill actually do?
Which AI tools support this skill?
Does it access my databases or external systems?
Is the content in English or Chinese?
Can it guarantee how much revenue I will earn?
Does it give legal or compliance opinions?
開発者情報
作成者
图灵数盟ライセンス
MIT
Skillstore リビジョン
r1
バージョンに関する注意
作者はバージョンを宣言していません。
参照
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
メンテナンスの新しさ
2026/9/30
利用状況
0 ダウンロード · 0 閲覧
ファイル構成